Data Scientist, Contract

Responsibilities

• Design, build, deploy, and maintain data science, machine learning, analytics, and AI-enabled solutions to improve sales/distribution effectiveness, productivity, and business decision-making.

• Apply advanced analytical techniques to identify actionable insights, solve business problems, and support strategic initiatives.

• Develop and maintain Power BI dashboards and reports, including data modelling and effective data visualisation.

• Partner with stakeholders across business, sales, marketing, operations, and technology teams to translate business needs into practical data solutions.

• Ensure the quality, consistency, and reliability of data from multiple internal and external sources.

• Present analysis, recommendations, solution outcomes, and project updates clearly to senior stakeholders.

• Support responsible use of data and AI by ensuring solutions align with relevant regulatory, privacy, risk, and internal governance requirements.

• Monitor solution performance and continuously enhance models, dashboards, and analytics products based on business feedback and changing needs.

Requirements

• Bachelor's degree or above in Statistics, Computer Science, Mathematics, Data Science or another quantitative discipline.

• At least 5 years of relevant experience in data analytics, data science, machine learning, business intelligence, or related functions.

• Strong hands-on Python and SQL skills, with experience building, implementing, and maintaining analytics or machine-learning solutions.

• Solid experience with Power BI, including dashboard development, data modelling, DAX, and visualisation design.

• Practical experience applying machine-learning techniques such as classification, regression, clustering, forecasting, recommendation engines, or propensity modelling.

• Comfortable working with large and complex datasets, including data preparation, feature engineering, validation, and model-performance monitoring.

• Exposure to generative AI, large language models, agentic AI, or intelligent automation tools, with an ability to identify and support practical business use cases.

• Strong stakeholder-management and communication skills, with the ability to explain technical findings in a clear, business-focused manner.

• Able to work independently, manage competing priorities, and deliver effectively in a fast-paced environment.

• Experience in insurance or consultancy firm is a plus